Co-Intelligence: Wharton Prof. Ethan Mollick on Collaboration Between Humans & AI | Technovation 860

Artificial intelligence (AI) plays a larger role than ever in every aspect of our lives. From businesses to academia, technology leaders must not only learn how to wield these tools but also how to collaborate with them. In this episode of Technovation, Ethan Mollick, Associate Professor of Management at The Wharton School, discusses insights from his latest book “Co-Intelligence: Living and Working with AI” and focuses the conversation around the dynamic interplay between humans and artificial intelligence. Ethan begins by reflecting on his early entrepreneurship journey during the internet boom and his eventual pivot into academia pioneering educational methods using AI and simulations at Wharton Interactive. He shares his research on the implications of AI on work and creativity, demystifies common myths around entrepreneurship, and provides a glimpse into an AI-driven future of entrepreneurship. Furthermore, Ethan delves into the ‘Four Rules of Co-Intelligence' explained in his book, talks through the variety of roles that AI can play ranging from a co-founder to a tutor, and emphasizes the importance of a proactive and experiential approach to integrating AI into educational and professional environments citing its potential challenges and opportunities.
Learn more about the book “Co-Intelligence”: www.penguinrandomhouse.com/bo...
This interview was recorded in early March 2024.
0:00 Introduction
00:54 Ethan's Entrepreneurial Journey and Transition to Academia
02:10 Debunking the Myths of Entrepreneurship
05:23 Teachable Aspects of Entrepreneurship
06:59 Defining an Entrepreneur
10:08 AI as a Co-Founder
12:28 Leveraging AI in Education and Work
14:42 The Four Rules for Co-Intelligence with AI
25:12 AI as a Tutor and Its Role in Education
28:16 AI as a Coach and the Introduction of Pre-Mortems
33:14 AI in the Classroom
35:56 Addressing Academic Integrity in the Age of AI
37:44 The Future of Work and AI: Concerns and Opportunities
41:17 AI's Impact on Large Organizations and the Importance of Experimentation
49:15 Concluding Thoughts and Acknowledgements
An audio-only version of this interview is available as episode 860 of Metis Strategy’s podcast, #Technovation with Peter High. Learn more at bit.ly/Technovation-860.
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[@williamjmccartan8879]

Very informative conversation and much appreciated Ethan and Peter, thank you for sharing your time and work, peace

[@MetisStrategy]

Thanks for tuning in! We're glad you found Ethan's interview as insightful as we did!

[@mambi_anonymous]

Interesting conversation. Thanks! The more I see how dependent LLM's performance seems to be from been trained on ALL the data vs SOME of the data, the more they look to me as the ultimate socializers of COLECTIVE knowledge. One question that comes to mind is: To what extent the wealth created by LLM's should go to the creators of the technology vs to everyone? The dynamics mentioned where the biggest models beat all the rest is a winner takes all on steroids.
I hope that in the same way that, as the skills of those tools keep expanding, "less skilled" people risk becoming irrelevant, a similar process happens with those at the top.
Who knows? Maybe AI (used in a fair way) will finally end history in the sense that no human will be in a position of exploiting others ...